Temporal Analytics

Temporal analytics refers to the analysis of data over time to uncover trends, patterns, and changes. It helps organizations understand how variables evolve, such as sales over months or website traffic during particular events. By examining time-based data, businesses can make informed decisions, improve forecasting, and enhance performance. This analytical approach often uses timestamps to track data points, enabling insights into seasonal shifts, historical comparisons, and future predictions. In essence, temporal analytics allows for a deeper understanding of dynamics that influence outcomes across different periods.